Wetmore2012

This data set overlaps with Wetmore.data and is used only in Vignette 4 for
steady state concentration.
This data set overlaps with Wetmore.data and is used only in Vignette 4 for
steady state concentration.

data

High throughput toxicokinetics ("HTTK") is the
combination of 1) chemical-specific in vitro measurements or in
silico predictions and 2) generic mathematical models, to
predict absorption, distribution, metabolism, and excretion by the
body. HTTK methods have been described by Pearce et al. (2017)
(<doi:10.18637/jss.v079.i04>) and Breen et al. (2021) (<doi:10.1080/17425255.2021.1935867>).
Here we provide examples (vignettes) applying HTTK to solve various
problems in bioinformatics, toxicology, and exposure science.
In accordance with Davidson-Fritz et al. (2025) (<doi:10.1371/journal.pone.0321321>),
whenever a new HTTK model is developed, the code to generate the
figures evaluating that model is added as a new vignettte.

John Wambaugh

httkexamples

High-Throughput Toxicokinetics Examples

Robert Pearce

Caroline Ring

Greg Honda

Matt Linakis

Dustin Kapraun

Kimberly Truong

Meredith Scherer

Annabel Meade

Celia Schacht

Elaina Kenyon

Wetmore2012 function

A data.frame containing 13 rows and 15 columns.
A data.frame containing 13 rows and 15 columns.

Format

Published toxicokinetic predictions based on in vitro data from Wetmore et
al. 2012. — Wetmore2012

Published toxicokinetic predictions based on in vitro data from Wetmore et
al. 2012.

Wetmore2012: Published toxicokinetic predictions based on in vitro data from Wetmore et al. 2012.

Description

Usage

Arguments

Format

References